Combining Information from Multiple Internet Sources

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http://www.reclaiming.org/resources/cons 9 ensus/invert.html 10 http://www.au.af.mil/au/awc/awcgate/ndu/ strat-ldr-dm/pt3ch11.html http://www.casagordita.com/consensus.htm http://globenet.org/horizonlocal/perso/consent.html Table 4.1.3 Results of Game theory method and search engines for simple query Game theory Ask.com Live Interia Yahoo! Google Set Coverage 60% 60% 70% 80% 60% URL to URL 30% 10% 0% 10% 0% Table 4.1.4 Coverage of results of Game theory method and search engines for simple query The table above presents how the Game theory based algorithm performs compared to the result sets of each search engine. It can be observed that the Game theory method result set covers in 80% result sets of the Yahoo! search engine. The next engine in line is Interia search engine, with 70% set-coverage (but note the 0% of URL to URL coverage!). The highest URL to URL coverage is for the Ask.com engine – 30%. Its 60% set coverage is third overall. For the Game theory method every engine set-coverage is at least 60% and it is overall higher than in case of the Auction method. However, position-wise comparison presents very low values. Even the Yahoo! engine with its 80% set-coverage has only one URL at the same place in its result set as has the result set returned by the Game theory method. For the Ask.com URL to URL coverage is 30% and is the highest one. Google and Interia are at the bottom, with URL to URL coverage equal to 0%. Game theory method as the top most URL returned the URL which was contained only in 3 out of 5 search engines. This happened because during the game, other higher ranked URLs were discarded as keep payoffs for those were smaller than the change ones. This resulted in elimination of those URLs from the consideration leaving the one which was selected. However the 2 nd URL which is returned is an URL which had the worst position in the result sets of the search engines equal to 4. This means that the keep payoff for this URL was high and it was not eliminated during the game. Some overall higher ranked links appear on the lower places. It means that in the end those were taken as a part of the result. This happened because of the removal of the already selected URLs from further consideration, thus allowing the keep payoffs to be high enough for those URLs to appear. Game theory method returns the overall top most URLs from all search engines. Even though, those URLs are not necessarily at the top places in the final result. In this case it means that if an URL is overall ranked high enough, it will be taken into consideration even in the latter part of the process of preparing the final answer. 46
The following section presents results of the Consensus method and 10 top most URLs from each search engine (again the individual results are kept of simplicity of the comparison). Consensus method vs. Search engines # Consensus (not consistent) Google 1 http://en.wikipedia.org/wiki/Consensus_d http://en.wikipedia.org/wiki/Consensus_d ecision-making ecision-making 2 http://www.actupny.org/documents/CDdocum ents/Consensus.html http://en.wikipedia.org/wiki/Consensus 3 http://www.npdsolutions.com/consensus.html ents/Consensus.html http://www.actupny.org/documents/CDdocum 4 http://www.casagordita.com/consensus.htm http://www.npdsolutions.com/consensus.html 5 http://www.ballfoundation.org/ei/tools/c http://www.seedsforchange.org.uk/free/co onsensus.html nsflow.pdf 6 http://en.wikipedia.org/wiki/Consensus http://www.seedsforchange.org.uk/free/co nsens 7 http://www.welcomehome.org/rainbow/focal izers/consenseus.html http://www.casagordita.com/consensus.htm 8 http://www.zmag.org/forums/consenthread. htm http://www.ic.org/pnp/ocac/ 9 http://www.seedsforchange.org.uk/free/co http://globenet.org/horizonlocal/perso/consent.html nsens 10 http://www.seedsforchange.org.uk/free/co http://www.welcomehome.org/rainbow/focal nsflow.pdf izers/consenseus.html # Ask.com Live http://www.actupny.org/documents/CDdocum http://en.wikipedia.org/wiki/Consensus_d 1 ents/Consensus.html ecision-making 2 http://www.casagordita.com/consensus.htm http://en.wikipedia.org/wiki/Wikipedia:C ON http://www.npd- http://www.npd- 3 solutions.com/consensus.html http://www.welcomehome.org/rainbow/focal 4 izers/consenseus.html http://www.ballfoundation.org/ei/tools/c 5 onsensus.html http://www.zmag.org/forums/consenthread. 6 htm http://en.wikipedia.org/wiki/Consensus_d 7 ecision-making http://www.spokanecounty.wsu.edu/family/consen.htm 8 http://www.msu.edu/~corcora5/org/consens 9 us.html 10 http://www.au.af.mil/au/awc/awcgate/ndu/ strat-ldr-dm/pt3ch11.html # Yahoo Interia 47 solutions.com/consensus.html http://www.actupny.org/documents/CDdocum ents/Consensus.html http://www.consensus.net/ http://www.casagordita.com/consensus.htm http://www.reclaiming.org/resources/cons ensus/invert.html http://vagreenparty.org/consensus.html http://www.nato.int/issues/consensus/ind ex.html http://www.welcomehome.org/rainbow/focal izers/consenseus.html 10 http://www.au.af.mil/au/awc/awcgate/ndu/ strat-ldr-dm/pt3ch11.html 1 http://en.wikipedia.org/wiki/Consensus_d http://en.wikipedia.org/wiki/Consensus_d ecision-making ecision-making 2 http://www.actupny.org/documents/CDdocum ents/Consensus.html http://en.wikipedia.org/wiki/Consensus 3 http://www.zmag.org/forums/consenthread. http://www.actupny.org/documents/CDdocum htm ents/Consensus.html 4 http://en.wikipedia.org/wiki/Consensus http://www.npdsolutions.com/consensus.html 5 http://www.casagordita.com/consensus.htm http://www.zmag.org/forums/consenthread. htm 6 http://www.ballfoundation.org/ei/tools/c http://www.seedsforchange.org.uk/free/co onsensus.html nsens 7 http://lefh.net/pcpo/CONSENSUSSteps.pdf http://www.seedsforchange.org.uk/free/co nsflow.pdf 8 http://www.npdsolutions.com/consensus.html http://www.ic.org/pnp/ocac/ 9 http://www.reclaiming.org/resources/cons ensus/invert.html http://www.casagordita.com/consensus.htm http://globenet.org/horizonlocal/perso/consent.html Table 4.1.5 Results of Consensus method and search engines for simple query
Page 1 and 2: WARSAW UNIVERSITY OF TECHNOLOGY FAC
Page 3 and 4: POLITECHNIKA WARSZAWSKA WYDZIAŁ MA
Page 5 and 6: Combining Information from Multiple
Page 7 and 8: Table of contents 1. Introduction..
Page 9 and 10: application presented in this paper
Page 11 and 12: 2. Design of the tool used for test
Page 13 and 14: 2.2.1 Design of the Client module 2
Page 15 and 16: module. At the end of this section
Page 17 and 18: there are set up search engines. Af
Page 19 and 20: UTILITY CLASSES: AgentController -
Page 21 and 22: ) If initial step of the algorithm
Page 23 and 24: 2.3 Design of the database part Thi
Page 25 and 26: Table search_engine: This table con
Page 27 and 28: 3. Algorithms This part of the thes
Page 29 and 30: Example: Let us consider the follow
Page 31 and 32: During algorithm processing there i
Page 33 and 34: Fig 3.1.1 Game theory Method Activi
Page 35 and 36: Example: Consider the following ini
Page 37 and 38: Listing 3.2.3 presents the pseudo c
Page 39 and 40: 3.3 Consensus method The Consensus
Page 41 and 42: Depending on the outcome of the con
Page 43 and 44: 3.4 Common algorithms This part of
Page 45 and 46: is multiplied by 0.01. 3 If the alg
Page 47 and 48: Input: Two lists with URLs Output:
Page 49 and 50: 4.1 Tests with simple query Followi
Page 51: top enough positions in all result
Page 55 and 56: This part will present comparison o
Page 57 and 58: As the first URL MySpiders returns
Page 59 and 60: was yield. However most of the retu
Page 61 and 62: The following part presents compari
Page 63 and 64: The following part presents compari
Page 65 and 66: complexity of the query. As the fir
Page 67 and 68: 7 http://www.calresco.org/lucas/pmo
Page 69 and 70: 5 6 http://www.virtualschool.edu/mo
Page 71 and 72: 10 http://www.mises.org/story/2451
Page 73 and 74: Auction Consensus Game theory Aucti
Page 75 and 76: 5. Final remarks In this thesis app
Page 77 and 78: [15] Kessler R.R., Griss M.L., Maki
Page 79: Warszawa, dnia 21.04.2008r. Oświad

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